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Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring

Lu, Linlin and Künzer, Claudia and Wang, Cuishen and Guo, Huadong and Li, Qingting (2015) Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring. Remote Sensing, 7, pp. 7597-7614. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs70607597 ISSN 2072-4292

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Understanding the spatial and temporal dynamics of vegetation is essential in drylands. In this paper, we evaluated three vegetation indices, namely the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI) and the Enhanced Vegetation Index (EVI), derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) Surface-Reflectance Product in the Xinjiang Uygur Autonomous Region, China (XUAR), to assess index time series’ suitability for monitoring vegetation dynamics in a dryland environment. The mean annual VI and its variability were generated and analyzed from the three VI time series for the period 2001–2012 across XUAR. Two phenological metrics, start of the season (SOS) and end of the season (EOS), were detected and compared for each vegetation type. The mean annual VI images showed similar spatial patterns of vegetation conditions with varying magnitudes. The EVI exhibited high uncertainties in sparsely vegetated lands and forests. The phenological metrics derived from the three VIs are consistent for most vegetation types, with SOS and EOS generated from NDVI showing the largest deviation.

Item URL in elib:https://elib.dlr.de/96602/
Document Type:Article
Title:Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lu, Linlinlull (at) radi.ac.cnUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Guo, Huadongguohd (at) radi.ac.cnUNSPECIFIED
Li, Qingtingliqt (at) radi.ac.cnUNSPECIFIED
Date:June 2015
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.3390/rs70607597
Page Range:pp. 7597-7614
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:MODIS; vegetation index; dryland; vegetation dynamics; time series; phenology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Künzer, Dr. Claudia
Deposited On:23 Jun 2015 09:12
Last Modified:14 Dec 2019 04:26

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